Berrettini vs Jacquet Prediction: Grand Prix Auvergne-Rhone-Alpes 2026
Jacquet has the stronger recent results, but Berrettini's service record helps explain why he remains the pick at the Grand Prix Auvergne-Rhone-Alpes.
Kyrian Jacquet's recent form makes the ranking gap less persuasive, but not enough to reverse the pick in the Grand Prix Auvergne-Rhone-Alpes round of 32. Court Shark's model gives Matteo Berrettini a 65% chance of winning.
Jacquet's results challenge the ranking gap
Matteo Berrettini has the stronger ranking at No. 46. Kyrian Jacquet, ranked No. 85, has the stronger recent results. Neither settles the pick alone.
Tuesday's round of 32 at the Grand Prix Auvergne-Rhone-Alpes gives Jacquet a chance to extend that run against a higher ranked opponent on hard courts. For Berrettini, it offers an opportunity to interrupt an uneven stretch. Their last 10 matches suggest the ranking gap is an incomplete guide to their current level.
Jacquet went 7-3, while Berrettini went 4-6. Jacquet's wins included Holger Rune and Fabian Marozsan; Berrettini beat Alejandro Davidovich Fokina and Aleksandar Kovacevic but lost to Adolfo Daniel Vallejo and Brandon Nakashima. Those results make Jacquet's challenge credible, although his latest victory came through Michael Mmoh's retirement. The form advantage deserves attention without making Jacquet the automatic favorite.
Two years of form
Article snapshot, Oct 20, 2026 · Not live
Each player's pre-match Elo rating since Oct 23, 2024. Latest: Matteo Berrettini 1938 (Oct 9, 2026), Kyrian Jacquet 1841 (Oct 18, 2026).
| Player | Start of window | Two-year peak | Latest |
|---|---|---|---|
| Matteo Berrettini | 2037 (Oct 23, 2024) | 2082 (Apr 10, 2025) | 1938 (Oct 9, 2026) |
| Kyrian Jacquet | 1713 (Nov 13, 2024) | 1861 (Oct 4, 2026) | 1841 (Oct 18, 2026) |
Recent form
Article snapshot, Oct 20, 2026 · Not live
Each player's most recent completed matches, up to 10, oldest on the left.
| Player | Date | Result | Opponent | Score | Event |
|---|---|---|---|---|---|
| Matteo Berrettini | Jul 4, 2026 | L | Grigor Dimitrov | 3-6 4-6 6-3 7-5 3-6 | Wimbledon |
| Matteo Berrettini | Aug 3, 2026 | L | Mariano Navone | 3-6 7-6(5) 3-6 | Canada Masters |
| Matteo Berrettini | Aug 14, 2026 | W | Titouan Droguet | 3-6 6-1 6-4 | Cincinnati Masters |
| Matteo Berrettini | Aug 15, 2026 | L | Jiri Lehecka | 4-6 7-6(3) 3-6 | Cincinnati Masters |
| Matteo Berrettini | Aug 31, 2026 | W | Stan Wawrinka | 7-6(4) 7-6(3) 6-0 | US Open |
| Matteo Berrettini | Sep 2, 2026 | L | Mariano Navone | 6-3 3-6 4-6 6-7(4) | US Open |
| Matteo Berrettini | Oct 1, 2026 | W | Alejandro Davidovich Fokina | 1-6 7-6(1) 6-4 | Tokyo |
| Matteo Berrettini | Oct 3, 2026 | L | Adolfo Daniel Vallejo | 6-7(6) 1-6 | Tokyo |
| Matteo Berrettini | Oct 7, 2026 | W | Aleksandar Kovacevic | 6-7(3) 6-1 6-4 | Shanghai Masters |
| Matteo Berrettini | Oct 9, 2026 | L | Brandon Nakashima | 6-7(4) 5-7 | Shanghai Masters |
| Kyrian Jacquet | Sep 25, 2026 | W | Tomas Martin Etcheverry | 6-2 6-3 | Hangzhou |
| Kyrian Jacquet | Sep 27, 2026 | W | Fabian Marozsan | 7-6(12) 6-4 | Hangzhou |
| Kyrian Jacquet | Sep 28, 2026 | L | Andrey Rublev | 6-7(0) 1-6 | Hangzhou |
| Kyrian Jacquet | Oct 1, 2026 | W | Holger Rune | 6-3 6-1 | Tokyo |
| Kyrian Jacquet | Oct 2, 2026 | W | Luciano Darderi | 6-3 7-6(5) | Tokyo |
| Kyrian Jacquet | Oct 4, 2026 | L | Jaume Munar | 4-6 2-6 | Tokyo |
| Kyrian Jacquet | Oct 5, 2026 | W | Tianhui Zhang | 6-2 7-6(1) | Shanghai Masters |
| Kyrian Jacquet | Oct 6, 2026 | L | Rei Sakamoto | 6-7(6) 6-4 6-7(8) | Shanghai Masters |
| Kyrian Jacquet | Oct 18, 2026 | W | Sascha Gueymard Wayenburg | 6-3 7-5 | ATP Lyon |
| Kyrian Jacquet | Oct 19, 2026 | W | Michael Mmoh | 7-6(1) 0-0 RET | ATP Lyon |
Berrettini's serve offers a counterweight
The service records complicate a pick based on recent wins alone: Berrettini held 87% of his service games on hard courts, compared with Jacquet's 84%. That is Berrettini's clearest statistical advantage. It gives him a plausible way to keep sets close even when his overall results have been less consistent.
Jacquet had the stronger return record, breaking in 23% of return games against Berrettini's 15%. My reading is that Jacquet has the more convincing route to creating repeated opportunities, while Berrettini's case depends more heavily on protecting serve. A higher hold rate does not erase the difference in recent results.
These figures cover the last 52 weeks on hard courts, rather than only the players' latest tournament appearances. They support a narrower conclusion than the rankings alone: Berrettini retains a service advantage, but Jacquet's return record gives substance to his better form.
Rust and close sets could change the pick
Berrettini had gone 11 days without a match, while Jacquet had played one day before this meeting. That creates a specific risk for the favorite: an uncertain start could expose the weaker return record before his service advantage begins to matter. Jacquet arrives with more immediate match practice.
Close sets offer another route. Jacquet won 57 of his 95 career tiebreaks, so a match dominated by service holds would not automatically favor Berrettini. That career record is relevant to the possibility of tight sets, though it does not establish how Jacquet will handle this particular opponent.
They had never met before. There is no direct result to show whether Jacquet can consistently threaten Berrettini's serve, which is the central test of the upset case. Mmoh's retirement also limits what Jacquet's latest win establishes about his ability to sustain his level through a full match.
The prediction
Court Shark's model favors Berrettini with a 65% win probability, while the market consensus gives him 56%. Both favor the higher-ranked player. Jacquet's recent form is a useful corrective to the ranking gap, but the evidence does not make it a better standalone guide to the winner.
Court Shark's AI analyst, which reads the matchup without the market, also picks Berrettini, agreeing with the model. His stronger service record supplies a concrete reason to retain him as the favorite despite Jacquet's better results. The model's median total is 23 games, which leaves room for competitive sets rather than suggesting a comfortable passage.
The forecast's middle half runs from 20 to 30 games, with a straight-sets Berrettini win the likeliest single result. That is a range, not an exact total. Jacquet's return chances are the point to watch: if Berrettini cannot protect serve, his recent losses become a more relevant guide than his ranking.
How long it could go
Article snapshot, Oct 20, 2026 · Not live
A 52% chance the match lasts 20 to 30 games; 23 is the middle of the range.
| Total games | Chance |
|---|---|
| 14 | 0.4% |
| 15 | 1.3% |
| 16 | 2.3% |
| 17 | 4.8% |
| 18 | 5.9% |
| 19 | 8.0% |
| 20 | 7.9% |
| 21 | 5.1% |
| 22 | 9.8% |
| 23 | 8.3% |
| 24 | 0.7% |
| 25 | 3.3% |
| 26 | 6.1% |
| 27 | 2.1% |
| 28 | 2.8% |
| 29 | 3.0% |
| 30 | 3.2% |
| 31 | 4.5% |
| 32 | 5.0% |
| 33 | 3.2% |
| 34 | 2.3% |
| 35 | 4.1% |
| 36 | 3.1% |
| 37 | 0.3% |
| 38 | 1.0% |
| 39 | 1.4% |
Explore this matchup
Compare both players side by side: recent results, surfaces, serve and return.
Player comparison
Article snapshot, Oct 20, 2026 · Not live
Each measure on the same scale: recent wins, wins on this surface, head-to-head wins and the model's chance.
| Measure | Matteo Berrettini | Kyrian Jacquet |
|---|---|---|
| Wins, last 10 matches | 40% (4-6) | 70% (7-3) |
| Wins, last 10 on hard | 40% (4-6) | 70% (7-3) |
| Model win probability | 65% | 35% |
Win rate by surface
Article snapshot, Oct 20, 2026 · Not live
Share of matches won on each surface across each player's last 50 matches with full statistics.
| Surface | Matteo Berrettini | Kyrian Jacquet |
|---|---|---|
| Hard | 50% (13-13) | 65% (22-12) |
| Clay | 45% (9-11) | 44% (4-5) |
| Grass | Too few matches (4) | 57% (4-3) |
Serve and return on hard courts
Article snapshot, Oct 20, 2026 · Not live
How often each player held serve and broke serve on hard over their last 50 matches with full statistics, against the tour's all-years average on the surface.
| Measure | Matteo Berrettini | Kyrian Jacquet | Tour average, all years |
|---|---|---|---|
| Service games held | 87% | 83% | 77% |
| Return games broken | 14% | 24% | 23% |
| Matches in sample | 26 | 34 |
Model and market on Matteo Berrettini
Article snapshot, Oct 20, 2026 · Not live
Matteo Berrettini's chance as the market consensus priced it from the opening line, next to the Court Shark model.
| Reading | Matteo Berrettini | Kyrian Jacquet |
|---|---|---|
| Opening consensus | 56% | 44% |
| Latest consensus | 56% | 44% |
| Court Shark model | 65% | 35% |
Model win probability
Article snapshot, Oct 20, 2026 · Not live
The Court Shark model's chance for each player to win this match.
| Player | Win probability | Recent form (last 10) |
|---|---|---|
| Matteo Berrettini | 65% | 4-6 |
| Kyrian Jacquet | 35% | 7-3 |
Ways to win
Article snapshot, Oct 20, 2026 · Not live
Every way the match can finish. The likeliest single result is Matteo Berrettini in straight sets (43%).
| Result | Chance |
|---|---|
| Matteo Berrettini wins 2-0 | 43% |
| Matteo Berrettini wins 2-1 | 22% |
| Kyrian Jacquet wins 2-1 | 16% |
| Kyrian Jacquet wins 2-0 | 19% |
Service games held: where they stand
Article snapshot, Oct 20, 2026 · Not live
Each dot is one of the ATP top 100 with enough matches in the last 52 weeks. Matteo Berrettini is 18th of 94; Kyrian Jacquet is 45th of 94.
| Player | Service games held | Place |
|---|---|---|
| Matteo Berrettini | 85.9% | 18th of 94 |
| Kyrian Jacquet | 82.0% | 45th of 94 |
| Field median | 81.8% | |
| Field best (Jannik Sinner) | 94.6% | 1st |
Court Shark win probabilities are statistical estimates, not advice. No outcome is guaranteed.
Methodology and sources
How we build model estimates and where our information comes from.
Model estimates and observed results
The win probabilities come from the Court Shark match model, trained on completed ATP and WTA matches. A probability says how often a player in this position wins, not that one result will happen. The model's number for a match is recorded before play and never changed afterwards, so it can be checked against the result.
Sources and citations
Results, scores, rankings and serve statistics come from the Court Shark match database. The market consensus is the pre-match price for each player converted to a probability. Figures in this article are a snapshot taken when it was written.
Limitations
Serve and return rates count only matches with full serve statistics, which are sparser for Challenger and lower-level events, and the tour average they are compared with covers every year on record. Head-to-head records count every meeting with a recorded winner, walkovers and retirements included. Charts and tables are a snapshot and do not update after publication.
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